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Modeling Political Corruption in Spain

Author

Listed:
  • Elena de la Poza

    (Centro de Ingeniería Económica, Universitat Politècnica de València, 46022 Valencia, Spain)

  • Lucas Jódar

    (Instituto de Matemática Multidisciplinar, Universitat Politècnica de València, 46022 Valencia, Spain)

  • Paloma Merello

    (Department of Accounting, University of Valencia, 46071 Valencia, Spain)

Abstract

Political corruption is a universal phenomenon. Even though it is a cross-country reality, its level of intensity and the manner of its effect vary worldwide. In Spain, the demonstrated political corruption cases that have been echoed by the media in recent years for their economic, judicial and social significance are merely the tip of the iceberg as regards a problem hidden by many interested parties, plus the shortage of the means to fight against it. This study models and quantifies the population at risk of committing political corruption in Spain by identifying and quantifying the drivers that explain political corruption. Having quantified the problem, the model allows changes to be made in parameters, as well as fiscal, economic and legal measures being simulated, to quantify and better understand their impact on Spanish citizenship. Our results suggest increasing women’s leadership positions to mitigate this problem, plus changes in the political Parties’ Law in Spain and increasing the judiciary system’s budget.

Suggested Citation

  • Elena de la Poza & Lucas Jódar & Paloma Merello, 2021. "Modeling Political Corruption in Spain," Mathematics, MDPI, vol. 9(9), pages 1-18, April.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:952-:d:542537
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    References listed on IDEAS

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    Cited by:

    1. Lucas Jódar & Rafael Company, 2022. "Preface to “Mathematical Methods, Modelling and Applications”," Mathematics, MDPI, vol. 10(9), pages 1-2, May.
    2. Sheila Torres & Rafael Company & Lucas Jódar, 2022. "Modeling Immigration in Spain: Causes, Size and Consequences," Mathematics, MDPI, vol. 10(9), pages 1-12, April.

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